docs: refresh README first fold, reconcile stale benchmark numbers, unify the one-liner
README first fold: - banner 800px -> 520px - badges condensed from two paragraphs into one row (Trendshift kept, inline) - lead with Introduction instead of benchmarks - new How it works section explaining the add/search loop - benchmarks moved below the intro and retitled from the date-stamped New Memory Algorithm (April 2026) - dropped Research Highlights, which restated the benchmark table verbatim Benchmarks: the README was already correct at 92.5 / 94.4, matching mem0.ai/research and docs/core-concepts/memory-evaluation.mdx. The stale copies were in the migration guides, which quote the numbers as a live reason to upgrade. Updated both to 92.5 / 94.4 (+21 / +27). docs/changelog/highlights.mdx keeps 91.6 / 93.4 inside its dated 2026-04-14 entry, which records what was announced at the time. One-liner: standardized on 'the memory layer for AI agents', already the canonical form in cli-spec.json, cli/python/pyproject.toml and the CLI specification. Swept the remaining variants.
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@@ -20,7 +20,7 @@ The new Mem0 release redesigns both extraction and retrieval, and cleans up the
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- **SDK cleanup**: Deprecated parameters removed, naming conventions standardized
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- **API surface aligned with Platform**: Entity IDs now follow the same convention across OSS and Platform: top-level kwargs for `add()` / `delete_all()`, inside `filters` for `search()` / `get_all()`
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These changes produce a **+20 point improvement on LoCoMo** (71.4 → 91.6) and **+26 point improvement on LongMemEval** (67.8 → 93.4), while cutting extraction latency roughly in half.
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These changes produce a **+21 point improvement on LoCoMo** (71.4 → 92.5) and **+27 point improvement on LongMemEval** (67.8 → 94.4), while cutting extraction latency roughly in half.
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## Breaking Changes
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@@ -11,7 +11,7 @@ iconType: "solid"
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## Overview
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The new Mem0 memory algorithm is a ground-up redesign of how memories are extracted, stored, and retrieved. It scores **91.6 on LoCoMo** and **93.4 on LongMemEval**: a +20 and +26 point improvement over the previous algorithm: while cutting extraction latency roughly in half.
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The new Mem0 memory algorithm is a ground-up redesign of how memories are extracted, stored, and retrieved. It scores **92.5 on LoCoMo** and **94.4 on LongMemEval**, a +21 and +27 point improvement over the previous algorithm, while cutting extraction latency roughly in half.
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| What Changed | Before | After |
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